Signals and systems courses can help you learn about signal representation, system stability, frequency response, and filtering techniques. You can build skills in analyzing linear time-invariant systems, applying the Fourier and Laplace transforms, and designing digital filters. Many courses introduce tools such as MATLAB and Python, which are commonly used for simulations and real-time signal processing applications, allowing you to implement theoretical concepts in practical scenarios.
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